Show HN: Remind Cards – an offline-first flashcard app with AI generation
A software engineer has released Remind Cards, an offline-first flashcard application originally developed to aid in learning Estonian vocabulary. The app combines AI-driven content generation with traditional spaced-repetition techniques to facilitate active recall and language study. The developer is seeking community feedback on the study workflow, feature density, and the effectiveness of the spaced-repetition system.
- ▪Remind Cards is an offline-first flashcard app that supports AI-generated content from topics or uploaded photos of handwritten notes.
- ▪The application utilizes a 7-box Leitner spaced-repetition system and offers multiple study modes including multiple choice, typing, and listening.
- ▪The developer intentionally avoided creating a pure AI wrapper, ensuring the core learning experience relies on active recall and local processing.
- ▪The project was built as a side project over several months, with the backend primarily handling authentication, synchronization, and community features.
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Story provenance
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Record
| Original publisher | Ycombinator |
| Canonical URL | https://news.ycombinator.com/item?id=49725821 |
| Publication time | Wed, 16 Sep 2026 12:21:12 +0000 |
| Retrieval time | 2026-09-16T12:28:41.477Z |
| Last seen | 2026-09-16T12:28:41.477Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | 0q7BGKeP3Pn3 · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Hi HN,I’m a software engineer, and for the past several months I’ve been building Remind Cards, a flashcard app I originally made because I wanted a better way to study Estonian vocabulary.https://remindcardsai.com/appWhat started as a small prototype gradually became a much bigger side project.The app now supports:* AI-generated flashcards from any topic * Uploading photos of handwritten notes and turning them into flashcards * Automatically generating example sentences for your cards * Pronunciation and text-to-speech, so you can hear the words and example sentences * Custom decks and sub-decks * A 7-box Leitner spaced-repetition system * Multiple study modes: multiple choice, typing, matching, writing, and listening * Images for flashcards * CSV import/export * Offline studying * XP,…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Ycombinator.